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Senior Data Scientist (Research and Applied)
CoreLogic San Diego, CA
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$121k-149k (estimate)
Full Time 1 Day Ago
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CoreLogic is Hiring a Senior Data Scientist (Research and Applied) Near San Diego, CA

At CoreLogic, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
Join a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do!
Job Responsibilities:
  • Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
  • Support deployment of models.
  • Perform work in a cloud-based Linux environment.
  • Present model performance to clients and prospects.
  • Provide pre-sales and post-sales analytic support and interact with both internal and external clients and prospects.
  • Create model reports for client review and model documentation.
  • Prepare and maintain programs and documentation for analytic models.
  • Conduct defined quantitative and qualitative research projects independently and communicates research results to internal and external stakeholders.
Independence:
  • Receives general direction and is competent to perform nearly all aspects of the job independently.
  • Work may be done without established procedures as required to resolve issues.
  • Take a team leadership role in developing and refining an analytics development platform.
  • Mentor and train junior colleagues.
Job Qualifications:
  • Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience.
  • 5 years of related modeling building experience.
  • Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.
  • Experience using python and/or C/ C with pytorch, jax, Scikit-learn, mlflow, huggingface.
  • Experience working in a cloud-based Linux environment.
  • Experience using distributed computing a plus, e.g. DDP, FSDP, deepspeed.
  • Publications or open source contributions a plus.
  • Strong problem solving and analytical ability.
  • Strong communication skills
  • Ability to quickly and efficiently adapt to new concepts.
  • Ability to thrive in a team environment.
  • Demonstrated knowledge of statistical techniques
  • Strong working knowledge of multiple analytic development tools, statistical tools, and programming languages
  • Demonstrated experience innovating and extracting insights from multiple data types including unstructured data.
#LI-Remote
Annual Pay Range:
106,900 - 144,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
2024-05-16
CoreLogic benefits information can be found here: http://www.yourcorebenefits.com/. Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from any posted range.
CoreLogic's Diversity Commitment:
CoreLogic is fully committed to employing a diverse workforce and creating an inclusive work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
EOE AA M/F/Veteran/Disability:
CoreLogic is an Equal Opportunity/Affirmative Action employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. CoreLogic maintains a Drug-Free Workplace.
Please apply on our website for consideration.
Privacy Policy - http://www.corelogic.com/privacy.aspx
By providing your telephone number, you agree to receive automated (SMS) text messages at that number from CoreLogic regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.
Connect with us on social media! Click on the quicklinks below to find out more about our company and associates.

Job Summary

JOB TYPE

Full Time

SALARY

$121k-149k (estimate)

POST DATE

05/06/2024

EXPIRATION DATE

05/19/2024

WEBSITE

corelogic.com

HEADQUARTERS

IRVINE, CA

SIZE

3,000 - 7,500

FOUNDED

2010

TYPE

Private

CEO

PARKER KENNEDY

REVENUE

$200M - $500M

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CoreLogic is a credit reporting agency that offers risk modeling, identity threat protection and verification solutions to businesses and individuals.

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Present final result to stakeholders. Make adjustments based on feedback.

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Learn the required skills to become a data scientist.

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Review additional data scientist certifications and post-graduate learning.

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Ask the right questions to begin the discovery process.

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Choose one or more potential models and algorithms.

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